The latest News and Information on DevOps, CI/CD, Automation and related technologies.
MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments. It accomplishes the deployment and maintenance of models reliably and efficiently for production, at a large scale. MLOps is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring.
K3s and Rancher Kubernetes Engine (RKE2) are two Kubernetes distributions from the SUSE Rancher container platform. Either project can be used to run a production-ready cluster; however, they target different use cases and consequently possess unique characteristics. This article will explain the similarities and differences between the projects. You’ll learn when it makes sense to use RKE2 instead of K3s and vice versa.
Find out how to effectively and easily monitor and troubleshoot Postfix using Netdata.
Organizing a software release is a cross-team effort and a large undertaking. Leveraging the power of Mattermost Playbooks can help your team stay on deadline and keep confusion at bay. In this post, we’ll learn how to quickly integrate Mattermost into your GitLab release pipeline to help streamline your release processes. At the end of the blog post, there’s a link to a release management demo that you can try out in the browser to see these ideas in action.
